A ubiquitously controllable resource pool system for source, grid, load and storage and its construction method

Abstract

The present invention discloses a ubiquitous adjustable resource pool system for source, grid, load and storage and a construction method thereof. The system comprises: a data input layer for obtaining information on various adjustable resources from the ubiquitous power Internet of Things through an interface; a source, grid, load and storage integrated model layer for storing information on various adjustable resources according to pre-established attributes, wherein the attributes include basic information on adjustable resources, grid-related information, adjustable information and real-time measurement information; and an adjustable resource management layer for rationally classifying and aggregating statistics on various adjustable resources according to different dimensions, and obtaining the adjustable potential of the grid based on the aggregation results. By constructing an adjustable resource pool, the present invention can support the management and ubiquitous regulation of adjustable resources across the province or even the entire grid, and dispatchers can grasp the adjustable capacity of the grid in real time.

Description

Technical Field

[0001] The present invention relates to the field of power system automation, and in particular to a ubiquitously controllable resource pool system for sources, grids, loads and storage and a construction method thereof. Background Art

[0002] With the introduction of the Energy Internet, the comprehensive deployment of the ubiquitous power Internet of Things is a core task in realizing the Energy Internet. In the initial stage of construction, business collaboration and data integration are required to initially realize unified IoT management. With the large-scale access of new energy and energy-consuming equipment such as distributed power sources, energy storage, electric vehicles, and load aggregation platforms, load-side equipment has become more diversified. Users are no longer just end-user loads, and can interact with dispatching agencies through load-side management. These resources can provide rich and valuable adjustable potential for the power grid. Therefore, it is urgent to effectively incorporate them into the grid's adjustable resources and realize data integration to enhance the grid's optimized configuration capabilities. However, the access of control data by various provinces (cities) is characterized by inconsistent data and non-standardized data types. This cannot support the management and ubiquitous control of adjustable resources across the province or even the entire network, and dispatchers cannot grasp the grid's adjustable capacity in real time. Summary of the Invention

[0003] To address the aforementioned deficiencies in the existing technology, the present invention provides a ubiquitously tunable resource pool system and construction method for power generation, grid load, and storage. This system constructs a ubiquitously tunable resource pool for power generation, grid load, and storage, and proposes a multi-layered system architecture consisting of an integrated power generation, grid load, and storage model layer and an adjustable resource management layer. This architecture supports standardized access and flexible management of adjustable resources, providing unified adjustable resource data and model services for monitoring, control, analysis, calculation, and optimization decision-making in dispatching services.

[0004] The present invention provides a ubiquitously regulated resource pool system for source, grid, load and storage, comprising:

[0005] The data input layer is used to obtain information about various controllable resources from the ubiquitous power Internet of Things through interfaces;

[0006] The source-grid-load-storage integrated model layer is used to store information on various types of controllable resources according to pre-established attributes, including basic information of the controllable resources, grid-related information, controllable information, and real-time measurement information;

[0007] The adjustable resource management layer is used to classify and aggregate various adjustable resources according to different dimensions, and obtain the adjustable potential of the power grid based on the aggregation results;

[0008] Among them, the controllable resources include power sources, dispatchable loads, centralized energy storage power stations and distributed user energy storage.

[0009] Preferably, the data input layer is specifically used to:

[0010] Based on the set time scale, data unit and collection object, various types of controllable resources are obtained from the ubiquitous power Internet of Things through the interface, and the obtained data is converted according to the set requirements.

[0011] Preferably, the basic information of the controllable resources includes: resource overview information, resource type and ownership information;

[0012] The resource profile information at least includes the resource name, ID and rated parameters; the ownership information at least includes the region and owner.

[0013] Preferably, the grid-related information includes: the feeder of the grid to which the resource belongs, the grid node to which the resource is connected, and the grid-related node that matches the resource.

[0014] Preferably, the adjustable information includes: adjustable feature information, economic characteristic information and contract information;

[0015] The adjustable characteristic information includes at least response time, duration, and upward adjustment amount and downward adjustment amount; the economic characteristic information includes adjustment cost or quotation information.

[0016] Preferably, the real-time measurement information includes: operating status, real-time information and control information.

[0017] Preferably, the adjustable resource management layer is specifically used to:

[0018] Classify all types of adjustable resources by their types, count power sources, dispatchable loads, and energy storage according to their resource types, and obtain the resource quantity and total adjustable amount;

[0019] Various types of controllable resources are managed according to their distribution, resources are aggregated based on designated areas, and statistics on resource distribution and the adjustable amount of the power grid are collected.

[0020] Preferably, the adjustable resource management layer is further used to: aggregate the same type of adjustable resources based on a single adjustable resource to obtain the aggregated total adjustment amount.

[0021] Preferably, the adjustable resource pool further includes:

[0022] The visualization display layer is used to display the overall information, partition aggregation information, individual detailed information, and flexible resource screening information of adjustable resources in a hierarchical manner.

[0023] Preferably, the adjustable resource pool further includes:

[0024] The source-grid-load-storage analysis application layer is used to perform user characteristic analysis, adjustable potential analysis, adjustable resource collaborative optimization analysis and post-evaluation based on adjustable resource data.

[0025] Based on the same inventive concept, the present invention also provides a method for constructing a ubiquitously regulated resource pool of source, grid, load and storage, comprising:

[0026] The data input layer obtains various adjustable resources from the ubiquitous power Internet of Things through interfaces;

[0027] The source-grid-load-storage integrated model layer stores basic information, grid-related information, controllable information, and real-time measurement information for each type of controllable resource;

[0028] The adjustable resource management layer aggregates and counts various adjustable resources stored in different dimensions, and obtains the adjustable potential of the power grid based on the aggregation results;

[0029] Among them, the controllable resources include power sources, dispatchable loads, centralized energy storage power stations and distributed user energy storage.

[0030] Preferably, the adjustable resource management layer classifies and aggregates various stored adjustable resources according to different dimensions, and after obtaining the adjustable potential of the power grid based on the aggregation results, further includes:

[0031] Based on business needs, user characteristics analysis, adjustable potential analysis, adjustable resource collaborative optimization analysis and post-evaluation are carried out on adjustable resources, and the overall information, partition aggregation information, individual detailed information and flexible resource screening information of adjustable resources are displayed in a hierarchical manner.

[0032] Compared with the prior art, the present invention has the following beneficial effects:

[0033] The technical solution provided by the present invention constructs a data input layer for obtaining information on various types of adjustable resources from the ubiquitous power Internet of Things through an interface; a source-grid-load-storage integrated model layer for storing information on various types of adjustable resources according to pre-established attributes, wherein the attributes include basic information of adjustable resources, grid-related information, adjustable information, and real-time measurement information; an adjustable resource management layer for aggregating and counting various types of adjustable resources according to different dimensions, and obtaining the adjustable potential of the grid based on the aggregation results. The clustering results can support the management and ubiquitous regulation of adjustable resources across the province or even the entire network, and dispatchers can grasp the adjustable capacity of the grid in real time.

[0034] The technical solution provided by the present invention realizes standardized access and flexible management of ubiquitously controllable resources of sources, grids, loads and storage by building a ubiquitous controllable resource pool, provides unified controllable resource data and model services for monitoring, control, analysis, calculation and optimization decision-making of dispatching business, and promotes the construction of ubiquitous power Internet of Things.

[0035] The technical solution provided by the present invention provides a data basis for the management and regulation of adjustable resources in the entire province and even the entire network through the construction of a ubiquitous adjustable resource pool. It realizes the aggregate calculation of the adjustable capacity of the power grid from the dimensions of objects, space, etc., significantly improves the ability of dispatching personnel to grasp the adjustable resources of the power grid in real time, improves the adjustable elasticity of the power grid, and further promotes the optimal allocation capability of the power grid resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 A schematic diagram of a ubiquitously adjustable resource pool of source, grid, load and storage provided by the present invention;

[0037] Figure 2 A schematic diagram of the overall framework of a ubiquitously regulated resource pool of source, grid, load and storage provided by the present invention;

[0038] Figure 3 This is a schematic diagram of the architecture of the source-grid-load-storage integrated model layer of the present invention;

[0039] Figure 4 This is a schematic diagram of the internal control logic of the ubiquitously adjustable resource pool system of source, grid, load and storage in the present invention. DETAILED DESCRIPTION

[0040] In order to better understand the present invention, the present invention is further described below with reference to the accompanying drawings and examples.

[0041] like Figure 1 As shown, the present invention provides a ubiquitously regulated resource pool of source, grid, load and storage, including:

[0042] The data input layer is used to obtain information about various controllable resources from the ubiquitous power Internet of Things through interfaces;

[0043] The source-grid-load-storage integrated model layer is used to store information on various types of controllable resources according to pre-established attributes, including basic information of the controllable resources, grid-related information, controllable information, and real-time measurement information;

[0044] The adjustable resource management layer is used to classify and aggregate various adjustable resources according to different dimensions, and obtain the adjustable potential of the power grid based on the aggregation results;

[0045] Among them, the controllable resources include power sources, dispatchable loads, centralized energy storage power stations and distributed user energy storage.

[0046] The present invention proposes a ubiquitously controllable resource pool for source, grid, load, and storage. Based on the aggregation of source, grid, load, and storage data, a multi-level system architecture is established, consisting of a source, grid, load, and storage data input layer, an integrated model layer, and an adjustable resource management layer. The present invention implements standardized storage of various adjustable resources, such as power sources, dispatchable loads, and energy storage, by establishing an integrated model layer for basic information of adjustable resources, grid-related information, adjustable information, and real-time measurement information. It also aggregates and statistics resources with adjustable potential from dimensions such as objects and space. The construction of a ubiquitous controllable resource pool will provide a foundation for the management and control of controllable resources across the province and even the entire network, provide unified data and model services for the monitoring, control, analysis, calculation, and optimization decision-making of dispatching services, improve the adjustable elasticity of the grid, and promote the optimal configuration capabilities of grid resources. It will also provide guarantees for the construction of a ubiquitous power Internet of Things.

[0047] The source-grid-load-storage data input layer obtains data through an interface based on the specifications set by the integrated model layer, and converts data units of the same type into a unified standard. The specifications set by the integrated model layer include time scale and collection objects.

[0048] In order to utilize the aggregated statistical results and improve the interactive experience, the present invention expands the visualization display layer and analysis application layer for the ubiquitously adjustable resource pool of source, grid, load and storage, realizes the analysis and display application of various adjustable resources such as power supply, dispatchable load, energy storage and aggregated statistics, and provides a basis for the control center to make scheduling decisions.

[0049] The standard for dividing regions in the present invention is: setting the country as the first level, and setting the levels in turn according to the distribution form of the power grid of the country;

[0050] This embodiment uses China as an example, setting China as the first level; China's multiple provinces are the second level; each province corresponds to multiple cities, which are the third level; each city corresponds to the county, which is the fourth level; the second level, for example, includes Jiangsu, Anhui, Zhejiang, and Fujian. Although this embodiment uses China as an example, the present invention is not limited to China. The provinces mentioned correspond to the second level of the power grid.

[0051] This embodiment takes the control capability of a province in China as an example, and builds a ubiquitously controllable resource pool of source, grid, load and storage based on the source, grid, load and storage data of the province. Figure 2 This is the overall framework for the ubiquitously regulated resource pool for sources, grids, loads, and storage in this invention. This pool includes a data input layer, an integrated source-grid-load-storage model layer, an adjustable resource management layer, a visualization layer, and an analytical application layer. It primarily implements integrated modeling, standardized management, and display applications for various regulated resources—sources, loads, and storage. This provides unified model and data management services for monitoring, control, analytical calculations, and optimized decision-making in dispatching services.

[0052] The controllable resources connected to the ubiquitously controllable resource pool of source, grid, load and storage mainly include: conventional power sources on the "source side", dispatchable loads on the "load side" (large users, load aggregators, non-industrial air conditioners, etc.), and centralized energy storage power stations and distributed user energy storage on the "energy storage side". Conventional power sources, as the most commonly used controllable resources in the power grid, generally have primary frequency regulation capabilities, AGC secondary regulation capabilities, 15-minute backup capabilities, and 30-minute backup capabilities. They can meet the different dispatching needs of the power grid and maintain the power balance of the power grid. Dispatchable loads refer to load-side resources that are willing and able to participate in power grid dispatching. General users can have a certain degree of adjustability by starting and stopping equipment, adjusting production processes, or changing electricity usage habits. At the same time, interactive terminals have been installed on the user side to enable them to have the conditions for regulation. Energy storage resources are chargeable and dischargeable, and have the dual characteristics of "source" and "load". They are high-quality resources with controllable capabilities, and it is urgent to include these resources in power grid regulation.

[0053] (1) Source-grid-load-storage integrated model layer

[0054] The architecture of the source-grid-load-storage integrated model layer is as follows: Figure 3 As shown, it provides an integrated model of basic information of various controllable resources such as "source", "load" and "storage", grid-related information, controllable information and real-time measurement information.

[0055] The basic information model of controllable resources is a static attribute parameter. It only needs to be maintained once the model is established. It must include resource overview (name, ID, rated parameters, etc.), resource type, and ownership information (region, owner, etc.).

[0056] The grid association model for controllable resources includes resource identification, grid association node search, and grid association node matching. Resource identification is used to obtain the grid feeder to which the resource belongs. Grid association node search is used to search for grid nodes on the grid feeder to which the resource is attached. Grid association node matching is used to determine the grid association node that matches the resource based on the searched association nodes. The grid association model primarily matches the grid nodes (power nodes, load nodes, etc.) to which the resource is attached and can be maintained manually or automatically.

[0057] The resource controllability model is mainly used to characterize the adjustable characteristics of resources, including physical characteristics such as response time, duration, upward adjustment amount and downward adjustment amount, economic characteristics such as adjustment cost or quotation information, and contract information including constraint information in the signed contract.

[0058] The real-time measurement information model is the real-time collected data reflecting the real-time status of each resource, including real-time power, operating status, control information, etc.

[0059] (2) Adjustable resource management layer

[0060] The adjustable resource management layer aggregates and counts various adjustable resources such as "source", "load" and "storage" from the dimensions of objects and space, provides screening of adjustable resources by resource type, geographical location, etc., and quantitatively calculates the adjustable potential of the power grid.

[0061] By categorizing controllable resources by type, conventional power sources, dispatchable loads, and energy storage are statistically analyzed based on resource type, including resource quantity and total adjustable capacity. Based on the single-unit adjustable model, single-unit adjustable resources of the same type are automatically aggregated to form an aggregated adjustable capacity for subsequent monitoring, control, analysis, and decision-making.

[0062] In the spatial dimension, resources are managed according to their distribution, aggregating resources by administrative region, grid operation zone, province, or the entire grid, and statistically analyzing resource distribution and grid adjustability. For grid dispatchers, understanding the adjustability of each zone is crucial for optimizing resource allocation and addressing grid safety issues. Providing more granular information on adjustable resources allows, for example, to mitigate risks by regulating resources in a specific zone if a line crosses a line in that zone, achieving precise control.

[0063] (3) Visualization display layer

[0064] The visualization display layer is designed with multi-level visualization human-machine display functions to realize the comprehensive display of controllable capabilities such as the overall information of the source, grid, load and storage controllable resources, partition aggregation information, individual detailed information, and flexible resource screening information.

[0065] The overall overview of the adjustable resources of source, grid, load and storage includes: the overall adjustable amount of various types of adjustable resources of source, grid, load and storage in the entire network / provinces and cities.

[0066] The aggregated information of the source-grid-load-storage adjustable resource zones includes: using GIS maps and other means to display the geographical distribution and power grid distribution of various types of source-grid-load-storage adjustable resources, and displaying the adjustable amount of each zone and the overall adjustable amount of different adjustable resources in each zone.

[0067] The detailed information of individual adjustable resources of source, grid, load and storage fully reflects the differences between different adjustable resources, and constructs a comprehensive radar chart of adjustable resources from multiple dimensions such as adjustment cost and adjustable quantity.

[0068] Flexible resource screening and information display: To meet the grid's frequency regulation, peak load regulation, and renewable energy consumption needs, selected controllable resources are counted and displayed. This function helps dispatchers understand the grid's adjustable capabilities, meet grid dispatch and control requirements, and improve their ability to optimize grid configuration.

[0069] (4) Source-grid-load-storage analysis application layer

[0070] The source-grid-load-storage analysis application layer performs analysis and application based on the constructed adjustable resource data. It can mainly realize user characteristic analysis, adjustable potential analysis, coordinated optimization of adjustable resources, and post-evaluation functions. It can provide unified data and model services for the monitoring and control, analysis and calculation, and optimization decision-making of the dispatching business, extending and expanding the application scope of the source-grid-load-storage adjustable resource pool.

[0071] The present invention constructs a ubiquitously adjustable resource pool of source, grid, load and storage. The system development includes a data input layer, an integrated model layer of source, grid, load and storage, an adjustable resource management layer, a visualization display layer, and an analysis application layer. It mainly realizes the integrated modeling, standardized management and display application of various adjustable resources of "source", "load" and "storage", and provides a unified model and data management service for the monitoring, control, analysis, calculation and optimization decision-making of scheduling business.

[0072] It is applicable to the construction of adjustable resource pools in dispatching systems at the national, provincial, and county levels, and improves the dispatching personnel's real-time grasp of the adjustable capacity of the power grid; it is applicable to the flexible management of dispatchable resources in multiple power grid operation scenarios, and realizes the real-time dispatchable capacity calculation of the power grid from multiple dimensions such as objects, space, response characteristics, and power grid demand, and screens and forms a collection of adjustable resources; it provides basic model data and unified optimization models for advanced application functions such as peak regulation, absorption of new energy and standby decision-making, thereby improving the adjustable elasticity of the power grid and further promoting the optimal allocation capability of power grid resources.

[0073] The technical solution provided by the present invention is easy to understand and has strong scalability. It is suitable for building controllable resource pools in dispatching systems at the national (district), provincial, and prefecture (county) levels, and has strong versatility, robustness, and practicality.

[0074] The present invention provides basic information of various controllable resources of "source", "load" and "storage", grid-related information, controllable information and real-time measurement information through the source-grid-load-storage integrated model layer.

[0075] The adjustable resource management layer of the present invention aggregates and counts various adjustable resources such as "source", "load" and "storage" from the object and spatial dimensions, provides quantitative calculation of the grid's adjustable capabilities according to different resource types and different geographical locations, and provides grid dispatchers with more fine-grained adjustable resource information.

[0076] Based on the same inventive concept, the present invention also provides a method for constructing a ubiquitously regulated resource pool of source, grid, load and storage, comprising:

[0077] The data input layer obtains information about various controllable resources from the ubiquitous power Internet of Things through interfaces;

[0078] The source-grid-load-storage integrated model layer stores the information of various controllable resources according to pre-established attributes, including basic information of controllable resources, grid-related information, controllable information, and real-time measurement information.

[0079] The adjustable resource management layer classifies and aggregates various types of stored adjustable resources according to different dimensions, and obtains the grid's adjustable potential based on the aggregation results;

[0080] Among them, the controllable resources include power sources, dispatchable loads, centralized energy storage power stations and distributed user energy storage.

[0081] In an embodiment, the adjustable resource management layer classifies and aggregates various stored adjustable resources according to different dimensions, and after obtaining the adjustable potential of the power grid based on the aggregation results, further includes:

[0082] Based on business needs, user characteristics analysis, adjustable potential analysis, adjustable resource collaborative optimization analysis and post-evaluation are carried out on adjustable resources, and the overall information, partition aggregation information, individual detailed information and flexible resource screening information of adjustable resources are displayed in a hierarchical manner.

[0083] like Figure 4 The control logic within the ubiquitously controllable resource pool of source, grid, load and storage is demonstrated. When constructing the ubiquitously controllable resource pool of source, grid, load and storage, it is necessary to read the power grid model, real-time operation data, scheduling plan data and mode data from the real-time library through the interface, and read the historical operation data and plan data from the relationship library; the integrated model layer constructs the basic information model, power grid association model, controllable model and real-time measurement model for the power source, dispatchable load and energy storage station based on the acquired data; the adjustable resource management layer performs cluster analysis to obtain the cluster analysis results, and displays them through the visualization display layer; the analysis application layer performs user characteristic analysis, coordination optimization, adjustable potential analysis and post-evaluation based on business needs, and displays the analysis results or processes as needed.

[0084] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0085] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the steps in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0086] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0087] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0088] The above are merely embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention are included in the scope of the claims of the present invention to be approved.

Claims

1. A ubiquitously controllable resource pool system for source, grid, load and storage, characterized in that: include: The data input layer is used to obtain information about various controllable resources from the ubiquitous power Internet of Things through interfaces; The source-grid-load-storage integrated model layer is used to store information on various types of controllable resources according to pre-established attributes, generating a basic information model, a grid-related model, a resource controllable model, and a real-time measurement information model. The attributes include basic information on controllable resources, grid-related information, controllable information, and real-time measurement information. The adjustable resource management layer is used to classify and aggregate various adjustable resources according to different dimensions, and obtain the adjustable potential of the power grid based on the aggregation results; The controllable resources include power sources, dispatchable loads, centralized energy storage power stations and distributed user energy storage; The adjustable resource management layer is specifically used to: Classify various adjustable resources by their types, and count them separately based on power supply, dispatchable load, and energy storage to obtain the resource quantity and total adjustable amount; Various types of adjustable resources are managed according to their distribution, resources are aggregated based on designated areas, and statistics on resource distribution and adjustable quantities of the power grid are compiled.

2. The adjustable resource pool system according to claim 1, characterized in that: The data input layer is specifically used for: Based on the set time scale, data unit and collection object, various types of controllable resources are obtained from the ubiquitous power Internet of Things through the interface, and the obtained data is converted according to the set requirements.

3. The adjustable resource pool system according to claim 1, wherein: The basic information of the controllable resources includes: resource overview information, resource type and ownership information; The resource profile information at least includes the resource name, ID and rated parameters; the ownership information at least includes the region and owner.

4. The adjustable resource pool system according to claim 1, wherein: The grid-related information includes: the feeder of the grid to which the resource belongs, the grid node to which the resource is connected, and the grid-related nodes that match the resource.

5. The adjustable resource pool system according to claim 1, wherein: The adjustable information includes: adjustable feature information, economic characteristic information and contract information; The adjustable characteristic information includes at least response time, duration, and upward adjustment amount and downward adjustment amount; the economic characteristic information includes adjustment cost or quotation information.

6. The adjustable resource pool system according to claim 1, wherein: The real-time measurement information includes: operating status, real-time information and control information.

7. The adjustable resource pool system according to claim 1, wherein: The adjustable resource management layer is further configured to aggregate the same type of adjustable resources based on a single adjustable resource to obtain an aggregated total amount of adjustment.

8. The adjustable resource pool system according to claim 1, wherein: Also includes: The visualization display layer is used to display the overall information, partition aggregation information, individual detailed information, and flexible resource screening information of adjustable resources in a hierarchical manner.

9. The adjustable resource pool system according to claim 1, wherein: Also includes: The source-grid-load-storage analysis application layer is used to perform user characteristic analysis, adjustable potential analysis, adjustable resource collaborative optimization analysis and post-evaluation based on adjustable resource data.

10. A method for constructing a ubiquitously controllable resource pool of source, grid, load and storage, characterized in that: include: The data input layer obtains information about various controllable resources from the ubiquitous power Internet of Things through interfaces; The source-grid-load-storage integrated model layer stores the information of various adjustable resources according to pre-established attributes, generating a basic information model, a grid-related model, a resource adjustable model, and a real-time measurement information model. The attributes include the basic information of adjustable resources, grid-related information, adjustable information, and real-time measurement information for storage; The adjustable resource management layer classifies and aggregates various types of stored adjustable resources according to different dimensions, and obtains the grid's adjustable potential based on the aggregation results; The controllable resources include power sources, dispatchable loads, centralized energy storage power stations and distributed user energy storage; The adjustable resource management layer classifies and aggregates various types of stored adjustable resources according to different dimensions, and obtains the adjustable potential of the power grid based on the aggregation results, including: Classify various adjustable resources by their types, and count them separately based on power supply, dispatchable load, and energy storage to obtain the resource quantity and total adjustable amount; Various types of adjustable resources are managed according to their distribution, resources are aggregated based on designated areas, and statistics on resource distribution and adjustable quantities of the power grid are compiled.

11. The method according to claim 10, wherein The adjustable resource management layer classifies and aggregates various stored adjustable resources according to different dimensions, and obtains the adjustable potential of the power grid based on the aggregation results, further comprising: Based on business needs, user characteristics analysis, adjustable potential analysis, adjustable resource collaborative optimization analysis and post-evaluation are carried out on adjustable resources, and the overall information, partition aggregation information, individual detailed information and flexible resource screening information of adjustable resources are displayed in a hierarchical manner.

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